Enrollment Opens July 2021.
Enrollment Opens July 2021.
Now you can virtually step into the classrooms of Stanford professors who are leading the Artificial Intelligence revolution.
Our graduate and professional programs provide the foundation and advanced skills in the principles and technologies that underlie AI including logic, knowledge representation, probabilistic models, and machine learning.
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Natural Language Processing with Deep Learning
Explore fundamental concepts of NLP and its role in current and emerging technologies. Gain a thorough understanding of modern neural network algorithms for the processing of linguistic information.
Machine Learning
In this broad introduction, learn about both supervised and unsupervised learning as well as learning theory, reinforcement learning and control. Explore recent applications of machine learning and design and develop algorithms for machines.
Machine Learning with Graphs
Explore the computational, algorithmic, and modeling challenges specific to the analysis of massive graphs. Master machine learning and data mining techniques that can improve prediction and reveal insights on a variety of networks.
Natural Language Understanding
Learn to develop systems and algorithms for robust machine understanding of human language. Explore the creation of word vectors, relation extraction, and natural language inference and complete the course with an original project.
Reinforcement Learning
Master principles of reinforcement learning and deep RL. Learn about core RL approaches and challenges including generalization, exploration, and optimization. Explore open challenges and hot topics in reinforcement learning.
